Related papers: hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms

hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms

URL: http://arxiv.org/abs/2210.02704v1
Date: Thu, 6 Oct 2022 06:40:07 GMT
Title: hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
Authors: Thanh Tung Khuat and Bogdan Gabrys
Abstract summary: hyperbox-brain is an open-source Python library implementing the leading hyperbox-based machine learning algorithms. hyperbox-brain exposes a unified API which closely follows and is compatible with the renowned scikit-learn and numpy toolboxes.
Score: 9.061408029414455
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
Abstract: Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural network architectures. This type of learning is characterised by many strong points of modern predictors such as a high scalability, explainability, online adaptation, effective learning from a small amount of data, native ability to deal with missing data and accommodating new classes. Nevertheless, there is no comprehensive existing package for hyperbox-based machine learning which can serve as a benchmark for research and allow non-expert users to apply these algorithms easily. hyperbox-brain is an open-source Python library implementing the leading hyperbox-based machine learning algorithms. This library exposes a unified API which closely follows and is compatible with the renowned scikit-learn and numpy toolboxes. The library may be installed from Python Package Index (PyPI) and the conda package manager and is distributed under the GPL-3 license. The source code, documentation, detailed tutorials, and the full descriptions of the API are available at https://uts-caslab.github.io/hyperbox-brain.

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